The British Machine Vision Conference (BMVC) Call for Papers

26TH BRITISH MACHINE VISION CONFERENCE
7-10 September 2015, Swansea, UK
http://bmvc2015.swan.ac.uk
(CALL FOR PAPERS)

The British Machine Vision Conference (BMVC) is one of the major
international conferences on computer vision and related areas. It is
organised by the British Machine Vision Association (BMVA).

The 26th BMVC will be held at Swansea University Singleton Campus,
7th-10th September 2015. The University Singleton Campus is set in a
rolling parkland overlooking the majestic sweep of Swansea Bay, the
start of the famously dramatic Gower coastline comprised of twenty-one
bays and coves.

BMVC2015 is a high quality single-track conference, comprising oral
presentations and poster sessions (with oral acceptance <10% in the
last 6 years). The conference features two keynote presentations and a
conference tutorial, and has associated workshops on the last day of
the conference, including a PhD student workshop.


TOPICS OF INTEREST

Topics include, but are not limited to:
Statistics and machine learning for vision
Stereo, calibration, geometric modelling and processing
Face and gesture recognition
Early and biologically inspired vision
Motion, flow and tracking
Segmentation and grouping
Model-based vision
Image processing techniques and methods
Texture, shape and colour
Video analysis
Document processing and recognition
Vision for quality assurance, medical diagnosis, etc.
Vision for visualisation, interaction, and graphics
Visualisation for computer vision
Visual analytics for computer vision
Object detection and recognition
Shape-from-X
Video analysis and event recognition
Illumination and reflectance


CONFERENCE TUTORIAL
BMVC 2015 features a half day conference tutorial on the 7th
September. The tutorial is particularly beneficial to research
students and early career researchers who are working in this
field. We are honoured, with Chris Bishop, to have such a prominent
researcher in the field of pattern recognition and machine learning to
deliver the tutorial.

Prof. Christopher Bishop
Chief Research Scientist, Microsoft.

Chris Bishop has a B.A. in Physics with First Class Honours from
Oxford, and a PhD in Theoretical Physics from the University of
Edinburgh with a thesis on quantum field theory supervised by David
Wallace and Peter Higgs. In 1998 he joined the Microsoft Research
Laboratory in Cambridge where he became Deputy Managing Director, and
later the Chief Research Scientist. He is a Partner in Microsoft, and
is head of the Machine Learning and Perception group. In 2010 he was
awarded the accolade of Distinguished Scientist, representing the
highest level of research distinction within Microsoft, and was the
first person in Europe to hold this title. At the same time as he
joined Microsoft Research, he was elected to a Chair of Computer
Science at the University of Edinburgh where he is a member of the
Institute for Adaptive and Neural Computation in the School of
Informatics. He is also a Fellow of Darwin College, Cambridge. He has
been elected Fellow of the Royal Academy of Engineering, and Fellow of
the Royal Society of Edinburgh, and has been awarded two Honorary
Doctor of Science degrees. His research interests include
probabilistic approaches to machine learning, as well as their
applications in industry, commerce, and healthcare.


KEYNOTE SPEAKERS
BMVC invites two leading researchers in the field to present their
work at the conference. We are grateful to the following speakers who
have agreed to give keynote lectures at the conference.

Prof. Ron Kimmel
Technion – Israel Institute of Technology

Ron Kimmel is a Professor of Computer Science at the Technion where he
holds the Montreal Chair in Sciences. He held a post-doctoral position
at UC Berkeley and a visiting professorship at Stanford University. He
has worked in various areas of image and shape analysis in computer
vision, image processing, and computer graphics. Kimmel’s interest
in recent years has been non-rigid shape processing and analysis,
medical imaging and computational biometry, numerical optimization of
problems with a geometric flavor, and applications of metric geometry
and differential geometry. Kimmel is an IEEE Fellow for his
contributions to image processing and non-rigid shape analysis. He is
an author of two books, an editor of one, and an author of numerous
articles. He is the founder of the Geometric Image Processing Lab. and
a founder and advisor of several successful image processing and
analysis companies.

Prof. Kristen Grauman
University of Texas at Austin

Kristen Grauman is an Associate Professor in the Department of
Computer Science at the University of Texas at Austin.  Her research
in computer vision and machine learning focuses on visual search and
object recognition.  Before joining UT-Austin in 2007, she received
her Ph.D. in the EECS department at MIT, in the Computer Science and
Artificial Intelligence Laboratory.  She is an Alfred P. Sloan
Research Fellow and Microsoft Research New Faculty Fellow, a recipient
of NSF CAREER and ONR Young Investigator awards, the Regents'
Outstanding Teaching Award from the University of Texas System in
2012, the PAMI Young Researcher Award in 2013, the 2013 Computers and
Thought Award from the International Joint Conference on Artificial
Intelligence, and a Presidential Early Career Award for Scientists and
Engineers (PECASE) in 2013.  She and her collaborators were recognized
with the CVPR Best Student Paper Award in 2008 for their work on
hashing algorithms for large-scale image retrieval, and the Marr Best
Paper Prize at ICCV in 2011 for their work on modeling relative visual
attributes.


PAPER SUBMISSION
Authors are invited to submit full-length high-quality papers in image
processing and machine vision. Papers covering theory and/or
application areas of computer vision are invited for
submission. Submitted papers will be refereed on their originality,
presentation, empirical results, and quality of evaluation. All papers
will be reviewed *doubly blind*, normally by three members of our
international programme committee. Please note that BMVC is a single
track meeting with oral and poster presentations. Paper submission
instructions are available at the conference website: http://bmvc2015.swan.ac.uk/?services=call-for-papers


IMPORTANT DATES
Submission deadline: Monday 04 May
Author notification: Friday 03 July
Early registration: Friday 24 July
Late registration: Friday 07 August
Conference tutorial: Monday 07 September
Main conference: Tuesday 08 - Thursday 10 September


CONFERENCE CHAIRS
Xianghua Xie, Swansea University, UK
Mark Jones, Swansea University, UK
Gary Tam, Swansea University, UK


CONTACT
bmvc2015@swansea.ac.uk